Towards proper sampling and statistical modelling of defects. Issue 9 (16th June 2015)

• Record Type: Journal Article
• Authors: Cetin, A.; Roiko, A.; Lind, M.; Morel, F.; Nadot, Y.; Buffière, J.‐Y.; Murakami, Y.; Brüne, M.
• Is Part Of: Fatigue & fracture of engineering materials & structures. Volume 38:Issue 9(2015:Sep.)
• Page Start: 1056
• Page End: 1065
• Publication Date: 2015-06-16
• Subjects: Materials -- Fatigue -- Periodicals; Fracture mechanics -- Periodicals; 620.1123
• DOI: 10.1111/ffe.12317
• Languages: English
• ISSNs: 8756-758X

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>Predicting the size of the largest defect expected to occur in components based on samples obtained from polished inspection areas is a common exercise, which is even addressed in standards. However, the standard practice may occasionally yield poor results. This paper presents a comprehensive method that aims to improve some of the shortcomings of the standard practice. The method is utilized on actual defect data, which showed that the proposed method is able to predict significant experimental observations that the standard practice missed.</p> </abstract>